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» Dynamic populations in genetic algorithms
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80
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GECCO
2008
Springer
159views Optimization» more  GECCO 2008»
15 years 1 months ago
IGAP: interactive genetic algorithm peer to peer
We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Throu...
Juan C. Quiroz, Amit Banerjee, Sushil J. Louis
95
Voted
GECCO
2003
Springer
118views Optimization» more  GECCO 2003»
15 years 5 months ago
Distributed Probabilistic Model-Building Genetic Algorithm
In this paper, a new model of Probabilistic Model-Building Genetic Algorithms (PMBGAs), Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation among the design var...
Tomoyuki Hiroyasu, Mitsunori Miki, Masaki Sano, Hi...
84
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EVOW
2010
Springer
15 years 7 months ago
A Directed Mutation Operator for Real Coded Genetic Algorithms
Abstract. Developing directed mutation methods has been an interesting research topic to improve the performance of genetic algorithms (GAs) for function optimization. This paper i...
Imtiaz Korejo, Shengxiang Yang, Changhe Li
ICRA
2007
IEEE
151views Robotics» more  ICRA 2007»
15 years 6 months ago
A Spatially Structured Genetic Algorithm over Complex Networks for Mobile Robot Localisation
— One of the most important problems in Mobile Robotics is to realise the complete robot’s autonomy. In order to achieve this goal several tasks have to be accomplished. Among ...
Andrea Gasparri, Stefano Panzieri, Federica Pascuc...
77
Voted
FUZZIEEE
2007
IEEE
15 years 6 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero